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Tamiku [17]
3 years ago
14

Draw to show what you know about a square.write how many sides

Mathematics
1 answer:
Keith_Richards [23]3 years ago
3 0
4, a square has 4 sides.
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A correction of "six less than twice the value of x" is
nordsb [41]

Answer:

2x-6

I don't know what you mean by correction, but that's in expression form.

8 0
3 years ago
What is the value of Negative 3 m n + 4 m minus 3 when m = 2 and n = negative 4?
Ivanshal [37]

Answer:

Step-by-step explanation:

-3(2)(-4)=24

24+4(2)=32

32-3=29

5 0
3 years ago
How many kilometers are in 765 yards? 1 yard = 3 feet 1 mile = 5,280 feet 1 kilometer = 0.621 miles
luda_lava [24]

Answer:

There are 0.70km in 765 yards.

Step-by-step explanation:

This is a problem of conversion of units, that can be solved by multiple rule of three's.

The first step is converting 765 yards to feet. We have that each yard has 3 feet, so

1 yard- 3 feet

765 yards - x feet

x = 765*3

x = 2295

So, in 765 yards there are 2295 feet.

Now, we have to convert 2295 feet to miles. Each mile has 5280 feet, so:

1 miles - 5280 feet

x miles - 2295 feet

5280x = 2295

x = 0.435 miles

So, in 765 yards there are 2295 feet which is 0.435 miles

Now, the final step is converting from miles to kilometers. Each km has 0.621 miles, so:

1km - 0.621 miles

xkm - 0.435 miles

0.621x = 0.435

x = 0.70km

So, there are 0.70km in 765 yards.

7 0
3 years ago
A regression was run to determine if there is a relationship between the happiness index (y) and life expectancy in years of a g
Natasha2012 [34]

Answer:

(A) y=-0.762+0.119x

(B) If a country increases its life expectancy, the happiness index will increase.

(C) If the life expectancy is increased by 3.5 years in a certain country, the happiness index will increase by 0.4165.

(D) If the life expectancy is 67 years in a certain country, the happiness index will be 7.21.

Step-by-step explanation:

A regression analysis was performed to determine if there is a relationship between the happiness index (y) and life expectancy in years of a given country (x).

The output of the regression analysis are as follows:

a = -0.762

b = 0.119

r² = 0.8649

r = 0.93

(A)

The equation of the Least Squares Regression line of the form y = _ + _ x is:

y=-0.762+0.119x

(B)

The correction between the variables happiness index (y) and life expectancy in years of a given country (x) is, 0.93.

The correlation coefficient is positive. This implies that there is a positive relation between the two variables, i.e. as the value of life expectancy in years increases the happiness index also increases.

Thus, if a country increases its life expectancy, the happiness index will increase.

(C)

Compute the value of y for x = x + 3.5 as follows:

y=-0.762+0.119x

  =-0.762+0.119\times (x+3.5)\\\\=(-0.762+0.119x)+0.4165\\\\=y+0.4165

Thus, if the life expectancy is increased by 3.5 years in a certain country, the happiness index will increase by 0.4165.

(D)

Compute the value of y for x = 67 as follows:

y=-0.762+0.119x

  =-0.762+0.119\times 67\\\\=-0.762+7.973\\\\=7.211\\\\\approx 7.21

Thus, if the life expectancy is 67 years in a certain country, the happiness index will be 7.21.

6 0
4 years ago
HURRRRRRYYYYYYY 1 QUESTION EXPERTS/ACE HELP QUICK!!!!!
Harrizon [31]
The first answer N(t) = 1.95^t
6 0
3 years ago
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